310 results about "Digital video" patented technology

The invention belongs to the technical field of computer vision and digital video processing, and discloses a video object segmentation method based on query adaptive attention and discriminative memory, which comprises the following steps: step 1, constructing a video data set and preprocessing data; step 2, constructing a video object segmentation model combining multi-scale semantic feature integration and query adaptive discriminant enhancement, and training the video object segmentation model; step 3, video object segmentation reasoning; performing target segmentation reasoning on the preprocessed video sequence, outputting a frame-by-frame target segmentation mask, and generating a time sequence tracking result; 4, exporting, deploying and applying the model; through lightweight network design and a discriminative memory optimization strategy, the model is deployed to edge equipment, and real-time segmentation and visualization are realized. According to the method, on one hand, comprehensive target representation is provided on multi-scale feature extraction, and on the basis of the characteristic that only high-confidence target features are stored, error propagation is avoided, and the long-term segmentation stability of the method is ensured.

Devices, systems and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes performing a conversion between a current video block of a video and a bitstream representation of the current video block according to a rule, where the rule specifies a relationship between applicability of a matrix based intra prediction (MIP) mode or a transform mode during the conversion, where the MIP mode includes determining a prediction block of the current video block by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, and where the transform mode specifies use of a transform operation for the determining the prediction block for the current video block.

The present disclosure relates to systems, methods, and non-transitory computer-readable media for segmenting a digital video to segment a digital video by employing a chapterization approach to video transcripts based on contextual data from audio signals and video signals together. In some embodiments, the disclosed systems can extract various types of audio signals and various types of video signals from a digital video. From the extracted signals, the disclosed systems can determine a set of break points to segment a video transcript. In some embodiments, the disclosed systems can further recommend, via a notification on a client device, inserting corresponding breaks from the segmented transcript into the digital video.

The embodiment of the invention provides a digital video monitoring data transmission synchronization method and system, and relates to the technical field of digital video monitoring data transmission synchronization, and the method comprises the steps: receiving a video data stream and an external sensor data stream which is related to the content of the video data stream and has an independent stable time synchronization mechanism; identifying a visual event from the video data stream, and identifying a physical event associated with the visual event from the external sensor data stream; taking the timestamp of the physical event as a time anchor point, obtaining a visual original timestamp of the visual event, and calculating the time deviation of the video data stream according to the time anchor point and the visual original timestamp; based on the time deviation, correcting the frame timestamp of the video data stream by adopting an adaptive weighted average or filtering strategy to obtain a corrected timestamp; and fusing the corrected timestamps to obtain a global time reference. The reliability of the monitoring data and the accuracy of the analysis result can be improved.

An archive model can be used for managing networked storage of recorded content, such as network DVR (digital video recorder) content. Content may be initially recorded to an active storage device, with individual duplicate copies recorded for each requesting user, and subsequently archived to an archive storage device. For playback, the content can be reconstituted into the active storage device prior to delivery to the requesting user. Content can be predictively reconstituted in anticipation of user needs, and the reconstitution capacity of the system can be dynamically reallocated for load balancing.

The invention discloses an adaptive video restoration method based on a digital video technology, and relates to the technical field of image communication. The method comprises the following steps: preprocessing an original video containing hard subtitles and automatically removing the hard subtitles to obtain a video to be repaired; screening a reference frame and a to-be-repaired frame by comparing the original video with the to-be-repaired video; determining a to-be-repaired area according to the pixel gray scale difference; extracting matched feature points, calculating a reference motion vector, estimating possible positions and motion differences of points in the to-be-repaired region in combination with object structure segmentation and region prediction, and generating a corrected motion vector; performing sub-pixel-level interpolation by using the vector, and constructing a corrected reference image; and finally, fusing the corrected image and the to-be-repaired area to generate a repaired video frame. The method can effectively improve the restoration quality of the subtitle shielded area.

A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.

Systems, apparatus, and methods for post-processing video e.g. frame denoising. Noise reduction techniques may be employed to improve the quality of digital video. Frames may be extracted from a video. Synthetic frames may be created using motion data between the extracted frames. Synthetic frames may be masked to exclude pixels from the composite frame. Thresholds used in masking may vary based on the temporal distance of the extracted frame used to create the synthetic frame and the extracted frame. Masking may be based on frame differences between extracted and synthetic frames (e.g., sub-pixel / luminance differences), areas of lower quality motion data (e.g., occlusions), or edge detection in the extracted frames. Synthetic and extracted frames may be composited generating frames having less noise. The composited frame may be based on averaging pixel values across the synthetic and extracted frames. Composited frames may be compiled and encoded into denoised video.

Systems and methods for detecting artificial intelligence generated images are provided. The system accepts an input image (e.g., a digital still image, or a frame from a digital video file or image stream) and subdivides the input image into a set of patches using a patch partitioning algorithm. The system then processes each patch and produces a feature embedding for each patch within a high dimension space. The system then utilizes these patches with further processing as input to machine learning models, which allows the system to achieve image, patch-level, and video-frame generated image classification and localization alongside identification of the generative model used to synthesize the image.

In some aspects, a method is described. The method can include receiving frame-based video comprising a series of frames, encoding the frame-based video into threaded video, and storing the thread based data in a memory device, where the threaded video is sparser than the frame-based video. Encoding the frame-based video into threaded video can include converting the frame-based video into a domain space, and generating a set of tiles, each tile of the set of tiles corresponding to a sub-space within the series of frames. The method can include generating a set of control points while traversing a driving parameter of the series of frames based on a delta.

Devices, systems and methods for digital video coding, which include sub-block based inter prediction methods, are described. An exemplary method for video processing includes determining, for a conversion between a current block of video and a bitstream representation of the video, a maximum number of candidates in a sub-block based merge candidate list and / or whether to add sub-block based temporal motion vector prediction (SbTMVP) candidates to the sub-block based merge candidate list based on whether temporal motion vector prediction (TMVP) is enabled for use during the conversion or whether a current picture referencing (CPR) coding mode is used for the conversion, and performing, based on the determining, the conversion.

1. Name of the designed product: main body of digital video camera 2. Use of the designed product: used as digital video camera with replaceable lens for movie shooting, etc.; use of partial design: used as main body of digital video camera. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view.

A transmitter includes a distributor that receives a stream of digital video samples and distributes the digital video samples into vectors in a buffer per a permutation. A digital-to-analog converter (DAC) per vector receives from its corresponding vector the digital video samples and converts the digital video samples into analog video samples. Each source driver includes a collector that receives analog video samples from each DAC and stores the analog video samples of the corresponding vector, and amplifiers that receive the stored analog video samples in parallel from the collector and amplifies the stored analog video samples onto a column of the display panel. Synchronization uses modified MFM and sample phase alignment. The source drivers are integrated with the substrate of the display panel using transistors. An AR / VR headset uses analog video transport between processor and visor and transmits and receives wirelessly.

The invention discloses an anomaly detection method for a digital video monitoring system, which relates to the related field of video data processing technology, and comprises the following steps: setting a sampling period and a sampling interval, and randomly intercepting a certain number of video clips from video data acquired by the digital video monitoring system in real time; the collected video clips are preprocessed, the video clips are segmented through shot boundary detection, key features are extracted from the video clips, and the noise influence is reduced; inputting the preprocessed video clips into a pre-trained video anomaly analysis model, performing anomaly analysis on the video clips in combination with text information generated by a text encoder, and determining video clips with abnormal events; and the target detection model is applied to detect abnormal video clips, abnormal events are classified and positioned, and an abnormal detection result is displayed on an application interface of the digital video monitoring system. The problems of low video anomaly detection efficiency and incomplete video feature information are solved, and the detection precision and the intelligent level are improved.

The invention discloses a digital video tampering detection method and system based on power grid frequency, and the method comprises the steps: deleting the visual content in a digital video to obtain the power grid frequency, enabling the power grid frequency to be embedded in a noise component of the digital video in an optical form, and carrying out the average processing in a column direction to obtain a line signal; filling the row signal of each frame in the idle time period to be zero, splicing all frames to construct a one-dimensional time sequence, and tracking a power grid frequency signal estimated value through S transformation; and matching the obtained power grid frequency signal estimation value with a reference frequency, and determining whether the digital video is tampered or not through frequency abrupt change. The invention aims to solve the problems of incomplete and distorted power grid frequency signals caused by time distortion in existing video power grid frequency estimation and the problem that high-precision extraction of the power grid frequency signals is restricted by complex background interference in a video recording process. Power grid frequency signals are accurately extracted, and high-precision detection and stable identification of video tampering behaviors are realized.

Technology is disclosed for programmatically generating interactive content cards (ICCs) for enhancing digital video content. In one implementation, an ICC overlays video content without altering the underlying video, providing viewers with additional, contextually relevant information as the video is viewed. The ICCs may be dynamically presented based on predefined presentation criteria, such as temporal markers, detected events, or recognized objects within the video that correspond to the information in the cards. Upon detecting a viewer's interaction with an ICC, a content window providing supplemental information about the video is presented. The supplemental information is generated using a query to a knowledge base, which may include a search engine or a language model, ensuring that the information is current and relevant.

Certain aspects and features of this disclosure relate to providing a controllable, dynamic appearance for neural 3D portraits. For example, a method involves projecting a color at points in a digital video portrait based on location, surface normal, and viewing direction for each respective point in a canonical space. The method also involves projecting, using the color, dynamic face normals for the points as changing according to an articulated head pose and facial expression in the digital video portrait. The method further involves disentangling, based on the dynamic face normals, a facial appearance in the digital video portrait into intrinsic components in the canonical space. The method additionally involves storing and / or rendering at least a portion of a head pose as a controllable, neural 3D portrait based on the digital video portrait using the intrinsic components.

A transmitter includes a distributor that receives a stream of digital video samples and distributes the digital video samples into vectors in a buffer per a permutation. A digital-to-analog converter (DAC) per vector receives from its corresponding vector the digital video samples and converts the digital video samples into analog video samples. A wiring harness transports each series of analog video samples to a source driver of a display panel of a display unit. Each source driver includes a collector that receives analog video samples from each DAC and stores the analog video samples of the corresponding vector, and amplifiers that receive the stored analog video samples in parallel from the collector and amplifies the stored analog video samples onto a column of the display panel. Synchronization uses modified MFM and sample phase alignment. The source drivers are integrated with the substrate of the display panel using transistors.

Devices, systems and methods for digital video coding, which includes Prediction from Multiple Cross-components (PMC) methods, are described. An exemplary method for video processing includes making a first determination that a cross-component prediction (CCP) mode is disabled for a conversion between a video block of a video and a bitstream representation of the video and making a second determination, based on the first determination, regarding whether a first syntax element indicating usage of an enhanced Two-Step Cross-component Prediction Mode (TSCPM) coding tool or an enhanced cross-component linear model (CCLM) coding tool is included in the bitstream representation. The method also includes performing a conversion based on the second determination.

Method, system and computer program product for providing a second digital video stream. In a collecting step, a first and a second primary digital video stream are collected from at least two different digital video sources. In a first production step, a first produced video stream is produced based on the first and second primary streams. In a second production step, the second stream is produced based on the first produced stream and also based on the first and second primary streams. In the second production step, the first and second primary streams are time-delayed so as to time-synchronise them with the first produced stream, taking into consideration a latency of the first produced stream resulting from the first production step, the second produced stream being produced based on the time-delayed first and second primary streams.

The application relates to the technical field of digital video processing, and discloses a video stream block time evidence watermarking method based on time authentication, which comprises the following steps: receiving a continuous video code stream and dividing the video code stream into multiple continuous video blocks, extracting video coding layer data of the first video block, performing a hash operation to generate a reference hash value; sending the reference hash value to a time watermarking device, performing a digital signature operation on the reference hash value in combination with an absolute timestamp and a signature key to generate a digital signature; intercepting a bit segment from the digital signature as a characteristic sequence to form cascade digest data; and modulating preset macro block syntax elements of the first frame of the next video block by using the cascade digest data, and outputting reconstructed video coding layer data. The method effectively reduces processor occupation and memory consumption of the system, enables video content to meet real-time transmission requirements in a monitoring scene while guaranteeing time sequence and data anti-fake capability.

Devices, systems, and methods for digital video coding, which includes deriving regression-based motion vector field (RMVF)-based motion vector information, are described. An exemplary method for video processing includes deriving, from at least one set of neighboring blocks in a RMVF scheme, one or more control point motion vector predictors (CPMVPs) of an affine model for a current video block. The method also includes updating a motion candidate list for the current video block based on the one or more CPMVPs. The one or more CPMVPs are associated with a specific affine motion mode. The method further includes performing a conversion for the current video block based on the motion candidate list.

The invention discloses a video quality evaluation method and device, equipment and a storage medium, and relates to the technical field of digital video processing. The method comprises the following steps: acquiring a to-be-evaluated image frame sequence and a corresponding reference image frame sequence; calculating target feature similarity measurement and a depth fusion feature vector between the feature maps of the current to-be-evaluated image frame and the current reference image frame at the same level, and obtaining a single-level quality perception feature vector; estimating a single-frame quality score of the current reference image frame based on the quality perception feature vectors of all levels corresponding to the current reference image frame; and obtaining a video quality score of the to-be-evaluated image frame sequence based on the single frame quality scores corresponding to all the to-be-evaluated image frames in the to-be-evaluated image frame sequence. Through combination of target feature similarity measurement and deep fusion features, traditional image quality evaluation indexes and deep network adaptive features are combined, and comprehensiveness and accuracy of video quality evaluation are improved.

Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.

The invention provides a reverse time offset compensation method, device and equipment and a medium, and the method comprises the steps: determining a superframe header position through employing a superframe synchronization algorithm when a digital video broadcasting DVB terminal searches a satellite; performing frame format analysis processing based on the superframe header position to obtain a corresponding frame type format; when the superframe header position is in an available state, obtaining a theoretical frame header position corresponding to the frame type format according to the frame type format; and according to the theoretical frame header position and the superframe header position, determining a time offset error value and sending the time offset error value to a signaling processing unit, so that the signaling processing unit performs time offset compensation correction according to the time offset error value and determines a target time offset value. According to the scheme, the access stability and the data transmission reliability of the DVB communication system are improved.

The invention provides a DVB frequency offset estimation method and device, equipment and a storage medium. The method comprises the following steps: acquiring a waveform; performing time slot synchronization on double-speed time domain data received by a digital video broadcast reverse link baseband to obtain synchronized data; and performing frequency offset estimation according to the waveform and the first burst at the synchronization head of the synchronized data. According to the method, adaptive frequency offset estimation is carried out according to the waveform and the first burst at the synchronization head of the synchronized data, and the performance of a satellite communication system is improved.

Disclosed herein are first person view (FPV) headsets that include a housing and a fan plate coupled to the housing, where the fan plate includes an attachment point configured to receive a headset accessory. The attachment point can include a hinged mount and / or a quick release connector (e.g., including a pin, screw, button, magnet). The attachment point can include an electrical connector for power and / or data. Also disclosed are accessories (e.g., an antenna, an antenna mount, a digital video receiver) having physical features that are complementary to the attachment point, enabling them to be attached to the FPV headset.

Disclosed herein are methods, systems, and computer-readable media for training a machine learning model to label unlabeled data and / or perform automated actions. In an embodiment, a method comprises receiving unlabeled digital video data, generating pseudo-labels for the unlabeled digital video data, the generating comprising receiving labeled digital video data, training an inverse dynamics model (IDM) using the labeled digital video data, and generating at least one pseudo-label for the unlabeled digital video data, wherein the at least one pseudo-label is based on a prediction, generated by the IDM, of one or more actions that mimic at least one timestep of the unlabeled digital video data. In some embodiments, the method further comprises adding the at least one pseudo-label to the unlabeled digital video data and further training the IDM or a machine learning model using the pseudo-labeled digital video data.

1. The name of the design product: digital video camera (D32S). 2. The use of the design product: for photography, photography. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to an analog video encryption and decryption method and system, and the method comprises the steps: carrying out the analog-to-digital conversion of an original analog video signal provided by an unmanned plane through analog image transmission, and obtaining an original digital video signal containing a plurality of video frame units; and performing pixel position rearrangement processing on the original digital video signal to generate an encrypted digital video signal, and performing digital-to-analog conversion to obtain an encrypted analog video signal. During decryption, analog-to-digital conversion is carried out on the encrypted analog video signal to obtain a digital video signal to be decrypted, pixel position inverse rearrangement processing is carried out to generate an original digital video signal, and finally digital-to-analog conversion is carried out to output an original analog video signal. According to the method, the encryption security of the analog video signal is enhanced by adjusting the pixel position in the digital domain, using the random number and the like.